EP4565469A1 - Verfahren und system zum überprüfen einer plantrajektorie eines teilautomatisiert oder automatisiert fahrenden fahrzeugs - Google Patents
Verfahren und system zum überprüfen einer plantrajektorie eines teilautomatisiert oder automatisiert fahrenden fahrzeugsInfo
- Publication number
- EP4565469A1 EP4565469A1 EP23744444.3A EP23744444A EP4565469A1 EP 4565469 A1 EP4565469 A1 EP 4565469A1 EP 23744444 A EP23744444 A EP 23744444A EP 4565469 A1 EP4565469 A1 EP 4565469A1
- Authority
- EP
- European Patent Office
- Prior art keywords
- vehicle
- trajectory
- plan
- plan trajectory
- vehicles
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W60/00—Drive control systems specially adapted for autonomous road vehicles
- B60W60/001—Planning or execution of driving tasks
- B60W60/0027—Planning or execution of driving tasks using trajectory prediction for other traffic participants
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W30/00—Purposes of road vehicle drive control systems not related to the control of a particular sub-unit, e.g. of systems using conjoint control of vehicle sub-units
- B60W30/08—Active safety systems predicting or avoiding probable or impending collision or attempting to minimise its consequences
- B60W30/095—Predicting travel path or likelihood of collision
- B60W30/0956—Predicting travel path or likelihood of collision the prediction being responsive to traffic or environmental parameters
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
- G08G1/0967—Systems involving transmission of highway information, e.g. weather, speed limits
- G08G1/096708—Systems involving transmission of highway information, e.g. weather, speed limits where the received information might be used to generate an automatic action on the vehicle control
- G08G1/096725—Systems involving transmission of highway information, e.g. weather, speed limits where the received information might be used to generate an automatic action on the vehicle control where the received information generates an automatic action on the vehicle control
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
- G08G1/0967—Systems involving transmission of highway information, e.g. weather, speed limits
- G08G1/096766—Systems involving transmission of highway information, e.g. weather, speed limits where the system is characterised by the origin of the information transmission
- G08G1/096791—Systems involving transmission of highway information, e.g. weather, speed limits where the system is characterised by the origin of the information transmission where the origin of the information is another vehicle
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W2520/00—Input parameters relating to overall vehicle dynamics
- B60W2520/10—Longitudinal speed
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W2556/00—Input parameters relating to data
- B60W2556/45—External transmission of data to or from the vehicle
- B60W2556/65—Data transmitted between vehicles
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/16—Anti-collision systems
- G08G1/161—Decentralised systems, e.g. inter-vehicle communication
- G08G1/163—Decentralised systems, e.g. inter-vehicle communication involving continuous checking
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/16—Anti-collision systems
- G08G1/167—Driving aids for lane monitoring, lane changing, e.g. blind spot detection
Definitions
- the invention relates to a method and a system for checking a plan trajectory of a partially automated or automated vehicle.
- the invention further relates to a vehicle for such a system.
- Partially automated or automated vehicles usually generate a planned trajectory that is to be executed in the immediate future.
- the planned trajectories generated must ensure reliable vehicle guidance.
- a method for cooperatively coordinating future driving maneuvers of a vehicle with external maneuvers of at least one external vehicle wherein an external data packet is received from the external vehicle, in which an external trajectory set from an external reference trajectory is contained, a trajectory from a set of trajectories for the vehicle is selected as a reference trajectory for the vehicle using the external reference trajectory, wherein a trajectory that is collision-free with the external reference trajectory is selected, the trajectories of the family of trajectories are evaluated using limit trajectories and at least one cooperation trajectory is selected from the trajectories of the family of trajectories using the reference effort value, wherein a data packet with the reference trajectory and the cooperation trajectory is sent to the third-party vehicle.
- the invention is based on the object of creating a method and a system for checking a plan trajectory of a partially automated or automated vehicle.
- a method for checking a plan trajectory of a partially automated or automated vehicle i) wherein a plan trajectory of the vehicle is transmitted to at least one other vehicle in the area surrounding the vehicle, the transmitted plan trajectory being transmitted in at least one other vehicle based on a plan trajectory of the at least one other vehicle is checked, and wherein a check result is transmitted to the vehicle, and / or ii) wherein a plan trajectory and a current position of at least one other vehicle in the area surrounding the vehicle are queried by the vehicle, the plan trajectory of the vehicle in the vehicle is checked based on the transmitted plan trajectory of the other vehicle.
- a system for checking a plan trajectory of a partially automated or automated vehicle, comprising: several vehicles, the vehicles each being set up to i) transmit a plan trajectory to at least one other vehicle in the area surrounding the vehicle and a check result for the to receive transmitted plan trajectory from the at least one other vehicle; furthermore to receive plan trajectories from other vehicles, to check a plan trajectory received from another vehicle based on the vehicle's own plan trajectory, and to transmit a check result to the other vehicle, and / or ii) a plan trajectory and a current position of at least one other vehicle in the area surrounding the vehicle and to check the plan trajectory of the vehicle in the vehicle based on the queried plan trajectory of at least one other vehicle.
- the method and the system make it possible to check a planned trajectory of a partially automated or automated vehicle based on the planned trajectories of other vehicles.
- the plan trajectory to be checked is either transmitted to another vehicle and checked there against a plan trajectory of the other vehicle or that a plan trajectory of another vehicle, based on which the plan trajectory of the vehicle can be checked, is checked by the other vehicle is queried and a check is carried out in the vehicle.
- Two measures can therefore be carried out alternatively or in addition to one another:
- a plan trajectory of the vehicle can be linked to at least one other vehicle in the area surrounding the vehicle are transmitted. The transmission takes place, for example, via known communication interfaces, such as C2C or mobile communications, etc.
- the transmitted plan trajectory is then checked in at least one other vehicle based on the plan trajectory of the at least one other vehicle.
- a check result is then transmitted to the vehicle from the at least one other vehicle.
- a plan trajectory and a current position of at least one other vehicle in the area surrounding the vehicle can be queried by the vehicle.
- the query is also carried out via known communication interfaces, such as C2C or mobile communications, etc.
- the vehicle's plan trajectory is then checked in the vehicle based on the transmitted plan trajectory of the other vehicle.
- the respective planned trajectory of the vehicles is generated in a manner known per se by a trajectory planner based on recorded sensor data and a world model. Such a plan trajectory should in particular be carried out at a future point in time and usually extends several tens to hundreds of meters beyond the current position into the future.
- the checking is carried out, for example, by means of a control device set up for this purpose in the vehicle or the at least one other vehicle.
- the control device can be designed individually or combined with other components as a combination of hardware and software, for example as program code that is executed on a microcontroller or microprocessor. However, it can also be provided that parts are designed individually or combined as an application-specific integrated circuit (ASIC) and/or field-programmable gate array (FPGA).
- ASIC application-specific integrated circuit
- FPGA field-programmable gate array
- the multiple vehicles further include a communication device in order to be able to communicate with one another.
- the communication device is set up, for example, to enable C2C communication between the vehicles and provides a suitable communication interface for this purpose.
- other communication methods such as Bluetooth, mobile communications (4G, 5G, etc.) and/or WLAN, etc., can also be used.
- the communication device is in particular connected to the aforementioned control device.
- the environment in which the at least one other vehicle is located is, in particular, an environment predetermined based on at least one environmental criterion.
- this can be a radius around a position of the vehicle in which there is at least one other vehicle must be in order for it to be interacted with in accordance with the procedure.
- only vehicles in a given direction for example only in front of the vehicle, can be taken into account.
- the environment criterion can also include that only directly neighboring vehicles are taken into account or also vehicles in the nth neighborhood.
- a number of possible trajectories already calculated by a trajectory planner are selected based on the planned trajectory of the other vehicle or based on the planned trajectories of the other vehicles.
- the planned trajectory of the vehicle is then selected based on this number.
- a planned trajectory of the vehicle is rejected based on the planned trajectory of the other vehicle or the planned trajectories of the other vehicles and another of the currently calculated trajectories is selected as the planned trajectory for the vehicle.
- the obtained plan trajectory of the other vehicle is compared with a map in the vehicle.
- it can be checked to what extent a combination of the obtained plan trajectory with the map of the vehicle is plausible.
- it can be determined that localization and thus also the plan trajectory of the vehicle may be incorrect.
- It can also be compared to what extent the received plan trajectory (or the plan trajectories) correspond to or correspond to trajectories that were estimated (predicted) in the vehicle for other vehicles if these other vehicles have not transmitted any plan trajectories.
- the obtained plan trajectory of the other vehicle (or the obtained plan trajectories of the other vehicles) can be compared with these estimated trajectories, that is, in particular, a measure of agreement or difference can be determined and assessed. In particular, this can create a measure of the extent to which the current planned trajectory is based on incorrect information (about the behavior of the other vehicles for which trajectories were predicted).
- measures i) and/or ii) are only carried out if it has been determined that an uncertainty measure assigned to the plan trajectory of the vehicle exceeds a predetermined uncertainty threshold or a confidence measure assigned to the plan trajectory of the vehicle falls below a predetermined confidence threshold. This allows a plan trajectory to be checked if an uncertainty or confidence associated with it makes this necessary. In particular, a plan trajectory can only be checked if this is necessary due to a specific value of the uncertainty measure or the confidence measure.
- the uncertainty measure and the confidence measure can be used equivalently to one another and/or converted into one another.
- the starting point for these values can be, for example, an uncertainty value or confidence value supplied to an output by an artificial intelligence, for example a machine learning method that is used for environment detection, object recognition and / or trajectory planning.
- an artificial intelligence for example a machine learning method that is used for environment detection, object recognition and / or trajectory planning.
- methods such as Monte Carlo dropout or ensemble methods can be used to estimate uncertainty or confidence.
- object recognition for example, a temporal progression of object recognition can also be taken into account: If a classification for an object changes often (“flickering”), the classification is to be assessed as uncertain; However, if the classification remains largely the same over time (in history), this indicates lower uncertainty. Uncertainty or confidence in sensor data can also serve as a starting point for these values.
- the specified threshold values are then used to check whether the threshold values have been exceeded (uncertainty measure) or fallen below (confidence measure).
- the threshold values can be determined, for example, through series of empirical tests.
- the threshold values can be set, for example, based on an analysis of distributions of the uncertainties become. For example, it can be provided that if there are uncertainties outside the 0.95 percentile, transmission takes place over a sufficiently large number of time steps. Alternatively, rarely occurring cases (so-called “corner cases”) can be analyzed in the field in order to derive threshold values.
- it can be provided to determine the predetermined uncertainty threshold and/or the predetermined confidence threshold based on map information or time-aggregated information in individual scenarios, for example by smoothing local uncertainties over time and then searching for outliers.
- checking the plan trajectory of the vehicle includes an at least section-wise comparison of the plan trajectory of the vehicle with the plan trajectory of at least one other vehicle. In this way, a course of the planned trajectory of the vehicle can be checked, in particular checked for plausibility, with a course of the at least one other vehicle. If the plan trajectories compared with each other run the same way in sections, then greater plausibility can be assumed than if the plan trajectories compared do not run the same way.
- the checking of the plan trajectory of the vehicle carries out the comparison, at least in sections, only with plan trajectories of other vehicles which currently have the same intention and/or are executing the same maneuver as the vehicle.
- An intention should describe a current, especially short-term, goal (e.g. turning, taking an exit, etc.).
- a maneuver is intended to describe an action currently being carried out by the vehicle to reach the destination (turning right, changing lanes, etc.). This makes it possible to use, in particular, plan trajectories for checking and comparing that coincide with the same intention and the same maneuver.
- the intention and/or maneuver can be transmitted along with the plan trajectory.
- the comparison of the plan trajectory of the vehicle with the plan trajectory of the at least one other vehicle includes collision detection. This makes it possible to prevent collisions between the vehicle and at least one other vehicle. In particular, it can be checked whether the plan trajectory of the vehicle corresponds to a plan trajectory of another vehicle in the environment cuts. If this is the case, a collision is likely; However, if this is not the case, the plan trajectories are collision-free.
- a check result is generated based on comparison results of the comparisons of the vehicle's plan trajectory with the plan trajectories of several other vehicles according to a voting principle.
- This allows the comparison results to be converted into an overall result.
- m out of n checks of the plan trajectory must confirm the plan trajectory so that the plan trajectory is judged to be plausible or validated and therefore implementable.
- the m-out-of-n criterion can be specified that 4-out-of-5 vehicles or 4-out-5 inspection results must be the same so that the four identical verification results are adopted as the overall verification result (e.g. the vehicle's plan trajectory is valid and/or plausible and/or valid or invalid and/or implausible and/or not valid, etc.).
- a radius around the vehicle, in which communication with other vehicles takes place according to the method is determined taking into account a speed and/or at least one other state variable of the vehicle and/or at least one state variable of the surroundings.
- a number of vehicles taken into account as part of the communication according to the method can be reduced to a limited environment.
- the dependence of the radius on the speed of the vehicle is specified in such a way that a radius increases with increasing speed. For example, if the vehicle is stuck in a traffic jam, only the directly adjacent other vehicles in the area can be taken into account.
- the radius is chosen to be larger and other vehicles that are further away are also taken into account. Whether other vehicles are within the radius or not can be determined, for example, based on C2C messages containing a respective position of the other vehicles and a current position of the vehicle.
- a state variable of the environment can include, for example, weather and/or weather conditions. For example, in sunny weather a smaller radius can be used be provided, whereas in rainy weather and / or fog a larger radius can be provided due to poor visibility.
- a decision is made based on a check result as to whether the planned trajectory of the vehicle is executed or rejected. This means that the test result can be directly translated into the driving behavior of the vehicle.
- plan trajectory when the plan trajectory is discarded: a) a new plan trajectory is generated, or b) a plan trajectory of another vehicle is at least partially adopted and/or adapted, or c) an emergency maneuver is carried out.
- a generated new plan trajectory is then also checked using the method.
- the adopted and/or adapted plan trajectory can also be checked using the method.
- An emergency maneuver includes, for example, emergency braking and/or driving to a shoulder of a road.
- plan trajectory of the vehicle is additionally checked using map data, with a result being taken into account in the check result. This can further improve checking. For example, it can be checked whether the planned trajectory of the vehicle corresponds to a road course that can be found in the map data or not.
- a vehicle is also created for a system according to one of the described embodiments, wherein the vehicle is set up to i) transmit a plan trajectory to at least one other vehicle in the vicinity of the vehicle and a check result for the transmitted plan trajectory from the at least one other to receive vehicle; also to receive plan trajectories from other vehicles, one received from another vehicle to check the plan trajectory based on the vehicle's own plan trajectory, and to transmit a check result to the other vehicle, and/or ii) to query a plan trajectory and a current position of at least one other vehicle in the area surrounding the vehicle and to check the plan trajectory of the vehicle in the vehicle based on the to check the queried plan trajectory of at least one other vehicle.
- FIG. 1 shows a schematic representation of an embodiment of the system for checking a plan trajectory of a partially automated or automated vehicle
- FIG. 2 shows a schematic representation to illustrate the method for checking a plan trajectory of a partially automated or automated vehicle
- Fig. 3 shows a further schematic representation to illustrate the method for checking a plan trajectory of a partially automated or automated vehicle.
- FIG. 1 shows a schematic representation of an embodiment of the system 100 for checking a plan trajectory 10 of a partially automated or automated vehicle 50.
- the system 50 includes several vehicles 50, 60.
- the individual features of the vehicles 50, 60 are largely provided with the same reference numbers , since the
- Vehicles 50, 60 of the system 1 are in particular designed similarly.
- the method described in this disclosure is explained below using system 100 as an example. Different reference numerals have been chosen where it serves to clarify the method described in this disclosure.
- the vehicle 50 includes a control device 1 and a communication device 2.
- the control device 1 includes a computing device and a memory (both not shown).
- the control device 1 is set up to receive a plan trajectory 10 from a trajectory planner 51 of the vehicle 50 and by means of the Communication device 2, for example via C2C, to at least one other vehicle 60 in the vicinity of the vehicle 50.
- the other vehicle 60 of the system 100 shown also includes a control device 1 and a communication device 2.
- the control device 1 of the other vehicle 60 is set up to receive the plan trajectory 10 transmitted by the vehicle 50, the plan trajectory 10 received by the vehicle 50 based on a own plan trajectory 11, which is provided by a trajectory planner 61 of the other vehicle 60, and to transmit a check result 20 to the vehicle 50 by means of the communication device 2.
- the control device 1 of the vehicle 50 is further set up to receive the check result 20 for the transmitted plan trajectory 10 from the other vehicle 60.
- the check result 20 can then be used as the basis for further planning of partially automated or automated driving.
- control device 1 is set up to query a plan trajectory 11 and a current position 12 of the other vehicle 60 and to check the plan trajectory 10 of the vehicle 50 based on the queried plan trajectory 11 of the other vehicle 50.
- control device 1 can, for example,
- the control device 1 of the other vehicle 60 is set up to transmit the plan trajectory 11 and the current position 12 to the vehicle 50 by means of the communication device 2 after receiving the query.
- the control devices 1 of the vehicles 50, 60 are set up in the same way, that is, the other vehicle 50 can carry out the measures described in the same way as the vehicle 50, so that several vehicles 50, 60 the respective plan trajectories 10, 11 in the manner described can check.
- the measures described are only carried out if it has been determined that an uncertainty measure 30 assigned to the plan trajectory 10 of the vehicle 50 exceeds a predetermined uncertainty threshold 31 or a confidence measure 32 assigned to the plan trajectory 10 of the vehicle 50 falls below a predetermined confidence threshold 33.
- the dimensions 30, 32 are provided by the trajectory planner 51 together with the plan trajectory 10.
- the control device 1 is set up to measure the uncertainty measure 30 or the confidence measure 32 based on the uncertainty threshold value 31 or the confidence threshold value 33 and to trigger the measures described above if the threshold values are exceeded or fallen below.
- checking the plan trajectory 10 of the vehicle 50 includes an at least section-wise comparison of the plan trajectory 10 of the vehicle 50 with the plan trajectory 11 of the other vehicle 60. This applies to both the checking in the other vehicle 60 and the checking in the vehicle 50.
- the control devices 1 are set up to carry out the comparison at least in sections. In particular, individual positions of the plan trajectories 10, 11 are compared with one another. For this purpose, it can be provided to carry out a comparison at least in sections using the method of least squares or another suitable difference measure in order to determine a match or a deviation of the plan trajectories 10, 11 from one another in sections. For example, the smaller the resulting (summated) distance, the greater the agreement, the better/higher the planned trajectory 10 of the vehicle 50 can be rated (e.g. in the form of a plausibility value).
- the comparison of the plan trajectory 10 of the vehicle 50 with the plan trajectory 11 of the other vehicle 60 includes collision detection. For this purpose, it is checked in particular whether the plan trajectories 10, 11 cross each other at any time and/or whether a predetermined minimum distance between the plan trajectories 10, 11 is exceeded at any time.
- the control devices 1 are set up to carry out the comparison and provide a comparison result.
- a check result 20 is generated based on comparison results of the comparisons of the plan trajectory 10 of the vehicle 50 with the plan trajectories 11 of several other vehicles 60 (for the sake of clarity, only one of the vehicles 60 is shown) according to a voting principle.
- the control devices 1 are set up to generate the final verification result 20 based on the obtained verification results 20 and/or comparison results according to the voting principle (m-out-of-n decision) if several verification results 20 and/or comparison results are received.
- a radius around the vehicle 50 in which communication with other vehicles 60 takes place according to the method, takes into account a speed 13 and/or at least one other state variable 14 of the vehicle 50 and/or at least one state variable 15 of the environment is determined.
- the speed 13 and the state variables 14, 15 can be provided and/or queried, for example, by a vehicle control 52 (and/or environmental sensor system 53) of the vehicle 50.
- the dependency can, for example, be stored in the control devices 1 in the form of a characteristic curve or a characteristic map.
- the characteristic curve then links values of the speed 13 and/or the state variables 14, 15 with a value for a radius around the vehicle 50. Communication according to the method for exchanging plan trajectories 10, 11 then only takes place with other vehicles 60 within the radius determined in this way.
- a decision is made based on a check result 20 as to whether the plan trajectory 10 of the vehicle 50 is executed or rejected.
- the verification result 20 includes information about whether the plan trajectory 10 is valid/plausible/valid.
- the checking result 20 includes an evaluation which expresses the aforementioned properties (valid/not valid and/or plausible/not plausible and/or valid/not valid) in the form of a value. The control device 1 can then determine, for example, based on the value of the evaluation and a predetermined threshold value, whether the plan trajectory 10 should be executed or rejected.
- a new plan trajectory 10 is generated, for example by the control device 1 transmitting the check result 20 or a rejection signal 21 to the trajectory planner 51, or b) a plan trajectory 11 of another vehicle 60 at least is partially adopted and/or adapted, for example by transmitting the planned trajectory 11 of the other vehicle 60 to the trajectory planner 51 for adoption and/or adaptation, or c) an emergency maneuver is carried out, whereby the trajectory planner 51 controls an actuator system of the vehicle accordingly and/ or regulates.
- FIG. 2 shows a schematic representation to illustrate the method for checking a plan trajectory 10 of a partially automated or automated vehicle 50.
- Shown is a street scene 40 on a road with three lanes 41.
- the street scene 40 includes the vehicle 50 and four other vehicles 60 .
- each of the plan trajectories 10, 11 of the vehicles 50, 60 The plan trajectories 11 of the other vehicles 60 all point straight ahead in the direction of travel.
- the plan trajectory 10 delivered by the trajectory planner of the vehicle 50 points sharply to the right.
- Plan trajectories 11 of the other vehicles 60 are all just above zero, whereas the value for the plan trajectory 10 of vehicle 50 is 0.82.
- the reason for the great uncertainty can be, for example, that the other vehicle 60 driving to the right in front of the vehicle 50 was not recognized, for example because incorrect sensor data is present, the cause of which is a defective radar sensor. It was therefore determined by the vehicle 50 that a predetermined uncertainty threshold (e.g. 0.5) was exceeded.
- the vehicle 50 carries out the method as described above by way of example with reference to the system and comes to the conclusion that the plan trajectory 10 is to be rejected.
- FIG. 3 shows a further schematic representation to illustrate the method for checking a plan trajectory 10 of a partially automated or automated vehicle 50.
- Shown again is a street scene 40 on a road with a lane 41, which is a curve section.
- the street scene 40 includes the vehicle 50 and another vehicle 60 in front.
- the plan trajectories 10, 11 of the vehicles 50, 60 are shown.
- the plan trajectory 11 of the other vehicle 60 follows the course of the curve.
- the plan trajectory 10 supplied by the trajectory planner of the vehicle 50 points to the right.
- the value for the plan trajectory 11 of the other vehicle 60 is just above zero, whereas the value for the plan trajectory 10 of the vehicle 50 is 0.81.
- the reason for the great uncertainty here can be, for example, that an environment detection and/or environment interpretation is incorrect, for example because incorrect sensor data is available or has been incorrectly interpreted. It was therefore by the Vehicle 50 determined that a predetermined uncertainty threshold (e.g. 0.5) was exceeded.
- the vehicle 50 carries out the method as described above with reference to the system by way of example and comes to the conclusion that the plan trajectory 10 is to be rejected.
- the plan trajectory 11 of the other vehicle 60 When comparing the plan trajectory 10 with the plan trajectory 11 of the other vehicle 60 at least in sections, it is determined in particular that the plan trajectory 11 of the other vehicle 60 in the immediate surroundings does not include right-hand steering, but left-hand steering.
- the associated uncertainty measure 30 of the plan trajectory 11 of the other vehicle 60 is almost at zero. From this it is concluded as part of the comparison that the plan trajectory 10 of the vehicle 50 is to be rejected.
- Control device Communication device Plan trajectory (vehicle) Plan trajectory (other vehicle) Current position
- Trajectory planner vehicle control environment sensors other vehicle trajectory planner
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Abstract
Description
Claims
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| DE102022207903.5A DE102022207903A1 (de) | 2022-08-01 | 2022-08-01 | Verfahren und System zum Überprüfen einer Plantrajektorie eines teilautomatisiert oder automatisiert fahrenden Fahrzeugs |
| PCT/EP2023/069898 WO2024028100A1 (de) | 2022-08-01 | 2023-07-18 | Verfahren und system zum überprüfen einer plantrajektorie eines teilautomatisiert oder automatisiert fahrenden fahrzeugs |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| EP4565469A1 true EP4565469A1 (de) | 2025-06-11 |
| EP4565469B1 EP4565469B1 (de) | 2026-03-25 |
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| EP23744444.3A Active EP4565469B1 (de) | 2022-08-01 | 2023-07-18 | Verfahren und system zum überprüfen einer plantrajektorie eines teilautomatisiert oder automatisiert fahrenden fahrzeugs |
Country Status (3)
| Country | Link |
|---|---|
| EP (1) | EP4565469B1 (de) |
| DE (1) | DE102022207903A1 (de) |
| WO (1) | WO2024028100A1 (de) |
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|---|---|---|---|---|
| DE102015220481B4 (de) * | 2015-10-21 | 2024-05-29 | Volkswagen Aktiengesellschaft | Verfahren und Vorrichtung in einer Verkehrseinheit zum kooperativen Abstimmen von Fahrmanövern von mindestens zwei Kraftfahrzeugen |
| DE102015221817A1 (de) * | 2015-11-06 | 2017-05-11 | Audi Ag | Verfahren zum dezentralen Abstimmen von Fahrmanövern |
| DE102018201646A1 (de) * | 2018-02-02 | 2019-08-08 | Continental Teves Ag & Co. Ohg | Verfahren und eine Vorrichtung zur dezentralen Kooperationsabstimmung von Fahrzeugen |
| DE102018002675A1 (de) * | 2018-04-03 | 2019-10-10 | Psa Automobiles Sa | Verfahren und Vorrichtung zum Abstimmen von Fahrmanövern zwischen Kraftfahrzeugen |
| DE102018109885A1 (de) | 2018-04-24 | 2018-12-20 | Continental Teves Ag & Co. Ohg | Verfahren und Vorrichtung zum kooperativen Abstimmen von zukünftigen Fahrmanövern eines Fahrzeugs mit Fremdmanövern zumindest eines Fremdfahrzeugs |
| EP3700108B1 (de) * | 2019-02-20 | 2023-08-09 | Volkswagen Aktiengesellschaft | Verfahren zum unterstützen einer ersten mobilstation zum vorhersagen der kanalqualität für eine geplante dezentrale drahtlose kommunikation zu einer kommunikationspartnerstation und mobilstation |
| DE102019103106A1 (de) * | 2019-02-08 | 2020-08-13 | Zf Automotive Germany Gmbh | Steuerungssystem und Steuerungsverfahren zur interaktionsbasierten Langzeitbestimmung von Trajektorien für Kraftfahrzeuge |
| DE102019205365A1 (de) * | 2019-04-12 | 2020-10-15 | Volkswagen Aktiengesellschaft | Kraftfahrzeug und Verfahren zur Kollisionsvermeidung |
-
2022
- 2022-08-01 DE DE102022207903.5A patent/DE102022207903A1/de active Pending
-
2023
- 2023-07-18 WO PCT/EP2023/069898 patent/WO2024028100A1/de not_active Ceased
- 2023-07-18 EP EP23744444.3A patent/EP4565469B1/de active Active
Also Published As
| Publication number | Publication date |
|---|---|
| WO2024028100A1 (de) | 2024-02-08 |
| EP4565469B1 (de) | 2026-03-25 |
| DE102022207903A1 (de) | 2024-02-01 |
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